What question did this study set out to answer?

To design an updated database that tracks clinical trials for cancer immunotherapies, addressing the challenge of staying current with research.

April 1, 2026Open Access

Rationale and Design of the Cancer Immunotherapy Evidence Living (CIEL) Library: A Continuously Updated Clinical Trial Database of Cancer Immunotherapies

Puntos clave

To design an updated database that tracks clinical trials for cancer immunotherapies, addressing the challenge of staying current with research.
Included planned, ongoing, and completed trials of immunotherapies regardless of trial design.
Conducted systematic searches on PubMed and ClinicalTrials.gov for data collection.
Utilized AI-assisted software ASReview for screening records and manual curation of data.
Implemented a web application with a feature to filter trials based on patient characteristics.
CIEL-Library provides a continuously updated resource for cancer immunotherapy trials.
Pilot tested with tumor-infiltrating lymphocyte transfer, illustrating the database's functionality.
Highlights challenges in maintaining an up-to-date clinical trial database.

Resumen

ABSTRACT Background and Aims Immunotherapies for cancers are tested in large numbers of clinical trials. It is difficult for clinicians and researchers to stay current with the evidence, and traditional systematic reviews and clinical guidelines are not suited to ensure a continued overview of all trials and their results. To address this problem, we designed the Cancer Immunotherapy Evidence Living (CIEL) Library. Methods We included planned, ongoing, and completed interventional trials of immunotherapies for cancer, regardless of trial design (e.g., randomization, blinding, and type of comparator). We systematically searched PubMed (for published reports) and ClinicalTrials.gov (for registered clinical trials). PubMed‐retrieved records were screened using the AI‐assisted software ASReview and manually extracted and curated. We imported data from ClinicalTrials.gov using the Clinical Trials Transformation Initiative database, which then requires further curation. The CIEL‐Library was implemented as a web application. It also contained the “Match My Patient” feature, a patient‐centered clinical decision support system, aiming to filter planned, ongoing, or completed trials based on four patient characteristics (disease staging, previous treatments, performance status, and location). We piloted our database with one type of cancer immunotherapy, the tumor‐infiltrating lymphocytes (TIL) transfer. The CIEL‐Library was a prototype and no further developments are planned. Conclusions The CIEL‐Library offers a blueprint for a dynamic evidence synthesis infrastructure by providing a collection of clinical trials with curated trial characteristics and results. This blueprint may be applied across fields, specialties, and topics. The main challenges to making a database of clinical trials are the time and resources needed to populate it with curated and updated data. The CIEL‐Library project highlights the potential and the main limitations of designing trial databases intended to be used in routine care.

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